What is symmetric dogfooding?

Symmetric dogfooding is a testing pattern where two repositories both act as consumers of the other's exports. This bidirectional validation ensures that both sides work correctly together before any downstream adoption occurs.

How does this differ from standard integration testing?

Unlike traditional integration testing which often mocks external dependencies or tests only one direction, symmetric dogfooding uses real imports and pinned versions of both repositories to validate the actual integration surface.

Which programming languages are supported?

The skill provides specific implementation guides and dependency configuration examples for Python (uv/pip), Rust (Cargo), and Node.js (npm/yarn).

Why should I pin versions instead of using the main branch?

Pinning to specific tags or commit SHAs is critical in symmetric dogfooding to ensure build stability and reproducibility. Testing against 'main' can lead to random failures and uncoordinated breaking changes.

Symmetric Dogfooding Validation

Name: Symmetric Dogfooding Validation
Author: terrylica

byterrylica

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セキュリティとテスト

Validates bidirectional integrations between repositories to ensure cross-compatibility and prevent breaking changes before release.

Symmetric Dogfooding is a specialized quality pattern for polyrepo environments where two repositories have a producer/consumer relationship. This skill helps developers implement bidirectional integration validation, where both repositories consume and test against the other's real outputs rather than using mocks. It provides structured templates for setting up cross-repo dev dependencies, defining integration surfaces, and establishing pre-release protocols to catch API drift and schema mismatches in complex, distributed systems.

主な機能

01Bidirectional integration test suite templates

02Cross-repo dependency pinning for Python, Rust, and Node.js

03Pre-release validation checklists and protocols

04Automated task configuration for mise.toml and Makefiles

05Integration surface mapping and schema documentation

0614 GitHub stars

ユースケース

01Validating independent API and client library updates simultaneously

02Ensuring data schema consistency across coupled microservices

03Coordinating breaking changes in tightly linked polyrepo workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add terrylica/cc-skills symmetric-dogfooding

For use in Claude.ai and ChatGPT

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